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D-Index & Metrics

Computer Science

D-Index
36
Citations
6553
World Ranking
11138
National Ranking
198

Overview

Georgios Gousios is affiliated with Delft University of Technology in the Netherlands. Their research primarily focuses on computer science, with a significant number of publications in the area. The main fields of study cover Computer Science broadly, with subfields including Information Systems, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications, and Software.

The scientist's work spans multiple topics, notably within software engineering and related domains. Key topics of research include:

  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Computational Physics and Python Applications
  • Software System Performance and Reliability
  • Open Source Software Innovations
  • Software Testing and Debugging Techniques
  • Topic Modeling

Georgios Gousios has contributed to various recent papers, with important publications including:

  • CodeFill, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Type4Py, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Factors Affecting On-Time Delivery in Large-Scale Agile Software Development, 2021, IEEE Transactions on Software Engineering
  • Pull Request Decisions Explained: An Empirical Overview, 2022, IEEE Transactions on Software Engineering
  • Nudge: Accelerating Overdue Pull Requests toward Completion, 2022, ACM Transactions on Software Engineering and Methodology

The scientist frequently collaborates with several researchers in their field. Notable coauthors include:

  • Amir M. Mir
  • Evaldas Latoškinas
  • Arie van Deursen
  • Joseph Hejderup
  • Ayushi Rastogi

Their contributions have been published in diverse venues, with repeated appearances in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • IEEE Transactions on Software Engineering
  • Empirical Software Engineering

Best Publications

  • The promises and perils of mining GitHub

    Eirini Kalliamvakou;Georgios Gousios;Kelly Blincoe;Leif Singer

  • An exploratory study of the pull-based software development model

    Georgios Gousios;Martin Pinzger;Arie van Deursen

  • The GHTorent dataset and tool suite

    Georgios Gousios

  • Work practices and challenges in pull-based development: the contributor's perspective

    Georgios Gousios;Andy Zaidman;Margaret-Anne Storey;Arie van Deursen

  • Work practices and challenges in pull-based development: The integrator's perspective

    G. Gousios;A. Zaidman;Storey;A. Van Deursen

  • An in-depth study of the promises and perils of mining GitHub

    Eirini Kalliamvakou;Georgios Gousios;Kelly Blincoe;Leif Singer

  • GHTorrent: GitHub's data from a firehose

    Georgios Gousios;Diomidis Spinellis

  • The SQO-OSS Quality Model: Measurement Based Open Source Software Evaluation

    Ioannis Samoladas;Georgios Gousios;Diomidis Spinellis;Ioannis Stamelos

  • TravisTorrent: synthesizing Travis CI and GitHub for full-stack research on continuous integration

    Moritz Beller;Georgios Gousios;Andy Zaidman

  • When, how, and why developers (do not) test in their IDEs

    Moritz Beller;Georgios Gousios;Annibale Panichella;Andy Zaidman

  • GHTorrent: Github's data from a firehose

    Unknown

  • Measuring developer contribution from software repository data

    Georgios Gousios;Eirini Kalliamvakou;Diomidis Spinellis

  • Lean GHTorrent: GitHub data on demand

    Georgios Gousios;Bogdan Vasilescu;Alexander Serebrenik;Andy Zaidman

  • Structure and evolution of package dependency networks

    Riivo Kikas;Georgios Gousios;Marlon Dumas;Dietmar Pfahl

  • Oops, my tests broke the build: an explorative analysis of Travis CI with GitHub

    Moritz Beller;Georgios Gousios;Andy Zaidman

  • Untangling fine-grained code changes

    Martin Dias;Alberto Bacchelli;Georgios Gousios;Damien Cassou

  • CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences

    Unknown

  • Evaluating the Quality of Open Source Software

    Diomidis Spinellis;Georgios Gousios;Vassilios Karakoidas;Panagiotis Louridas

  • Developer Testing in the IDE: Patterns, Beliefs, and Behavior

    Moritz Beller;Georgios Gousios;Annibale Panichella;Sebastian Proksch

  • TypeWriter: neural type prediction with search-based validation

    Michael Pradel;Georgios Gousios;Jason Liu;Satish Chandra

  • A dataset for pull-based development research

    Georgios Gousios;Andy Zaidman

  • Open Source Software: A Survey from 10,000 Feet

    Stephanos Androutsellis-Theotokis;Diomidis Spinellis;Maria Kechagia;Georgios Gousios

  • Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

    Unknown

Frequent Co-Authors

Diomidis Spinellis
Diomidis Spinellis Athens University of Economics and Business
Andy Zaidman
Andy Zaidman Delft University of Technology
Arie van Deursen
Arie van Deursen Delft University of Technology
Alberto Bacchelli
Alberto Bacchelli University of Zurich
Ioannis Stamelos
Ioannis Stamelos Aristotle University of Thessaloniki
Margaret-Anne Storey
Margaret-Anne Storey University of Victoria
Daniel M. German
Daniel M. German University of Victoria
Stéphane Ducasse
Stéphane Ducasse University of Lille
Daniela Damian
Daniela Damian University of Victoria
Yannis Charalabidis
Yannis Charalabidis University of the Aegean

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